Spatiotemporal dependency of age-related changes in brain signal variability

Cerebral Cortex

Volumn 24, Issue 7, 2014, Pages 1806-1817

  McIntosh, A R ^a   Vakorin, V ^a   Kovacevic, N ^a   Wang, H ^a   Diaconescu, A ^b   Protzner, A B ^c  

^a ROTMAN RESEARCH INSTITUTE   (Canada)

^b UNIVERSITY OF ZURICH   (Switzerland)

^c UNIVERSITY OF CALGARY   (Canada)

Author keywords

electroencephalograpy; functional connectivity; magnetoencephalography; multiscale entropy; nonlinear dynamics

Indexed keywords

ADULT; AGED; AGING; ANGULAR GYRUS; ANTERIOR CINGULATE; ANTERIOR INSULA; ARTICLE; AUDITORY THRESHOLD; BRAIN; BRAIN REGION; CLAUSTRUM; CUNEUS; ELECTROENCEPHALOGRAM; ENTROPY; FEMALE; FUSIFORM GYRUS; HUMAN; INFERIOR TEMPORAL CORTEX; MAGNETOENCEPHALOGRAPHY; MAJOR CLINICAL STUDY; MALE; NONLINEAR SYSTEM; ORBITAL CORTEX; PARIETAL CORTEX; POSTERIOR CINGULATE; PRECUNEUS; PREFRONTAL CORTEX; PRIORITY JOURNAL; PULVINAR; THALAMUS; VISION; ADOLESCENT; AUDITORY STIMULATION; BRAIN MAPPING; ELECTROENCEPHALOGRAPHY; IMAGE PROCESSING; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PHOTOSTIMULATION; PHYSIOLOGY; YOUNG ADULT;

ACOUSTIC STIMULATION; ADOLESCENT; ADULT; AGED; AGING; BRAIN; BRAIN MAPPING; BRAIN WAVES; ELECTROENCEPHALOGRAPHY; ENTROPY; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MAGNETOENCEPHALOGRAPHY; MALE; MIDDLE AGED; NONLINEAR DYNAMICS; PHOTIC STIMULATION; YOUNG ADULT;

EID: 84902435452     PISSN: 10473211     EISSN: 14602199     Source Type: Journal    
DOI: 10.1093/cercor/bht030     Document Type: Article

References (69)

1. Abe O, Aoki S, Hayashi N, Yamada H, Kunimatsu A, Mori H, Yoshikawa T, Okubo T, Ohtomo K. 2002. Normal aging in the central nervous system: quantitative MR diffusion-tensor analysis. Neurobiol Aging. 23:433-441.
2. Andrews-Hanna JR, Snyder AZ, Vincent JL, Lustig C, Head D, Raichle ME, Buckner RL. 2007. Disruption of large-scale brain systems in advanced aging. Neuron. 56:924-935.
3. Anokhin AP, Birbaumer N, Lutzenberger W, Nikolaev A, Vogel F. 1996. Age increases brain complexity. Electroencephalogr Clin Neurophysiol. 99:63-68.
4. Bartzokis G, Sultzer D, Lu PH, Nuechterlein KH, Mintz J, Cummings JL. 2004. Heterogeneous age-related breakdown of white matter structural integrity: implications for cortical "disconnection" in aging and Alzheimer's disease. Neurobiol Aging. 25:843-851.
5. Bhattacharya J, Edwards J, Mamelak AN, Schuman EM. 2005. Longrange temporal correlations in the spontaneous spiking of neurons in the hippocampal-amygdala complex of humans. Neurosci. 131:547-555.
6. Catarino A, Churches O, Baron-Cohen S, Andrade A, Ring H. 2011. Atypical EEG complexity in autism spectrum conditions: a multiscale entropy analysis. Clin Neurophysiol. 122:2375-2383.
7. Cheyne D, Bakhtazad L, Gaetz W. 2006. Spatiotemporal mapping of cortical activity accompanying voluntary movements using an event-related beamforming approach. Hum Brain Mapp. 27:213-229.
8. Costa M, Goldberger AL, Peng CK. 2002. Multiscale entropy analysis of complex physiologic time series. Phys Rev Lett. 89:068102.
9. Costa M, Goldberger AL, Peng CK. 2005. Multiscale entropy analysis of biological signals. Phys Rev E Stat Nonlin Soft Matter Phys. 71:021906.
10. Courchesne E, Chisum HJ, Townsend J, Cowles A, Covington J, Egaas B, Harwood M, Hinds S, Press GA. 2000. Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers. Radiology. 216:672-682.
11. Cox RW. 1996. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res. 29:162-173.
12. Damoiseaux JS, Beckmann CF, Arigita EJ, Barkhof F, Scheltens P, Stam CJ, Smith SM, Rombouts SA. 2007. Reduced resting-state brain activity in the "default network" in normal aging. Cereb Cortex. 18:1856-1864.
13. Deco G, Jirsa VK, McIntosh AR. 2011. Emerging concepts for the dynamical organization of resting-state activity in the brain. Nat Rev Neurosci. 12:43-56.
14. Delorme A, Makeig S. 2004. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods. 134:9-21.
15. Diaconescu AO, Alain C, McIntosh AR. 2011. The co-occurrence of multisensory facilitation and cross-modal conflict in the human brain. J. Neurophysiol. 106:2896-2909.
16. Diaconescu AO, Hasher L, McIntosh AR. 2012. Visual dominance and multisensory integration changes with age. Neuroimage. 65C:152-166.
17. Doraiswamy PM, Figiel GS, Husain MM, McDonald WM, Shah SA, Boyko OB, Ellinwood EH Jr., Krishnan KR. 1991. Aging of the human corpus callosum: magnetic resonance imaging in normal volunteers. J. Neuropsychiat Clin Neurosci. 3:392-397.
18. Duffy FH, McAnulty GB, Albert MS. 1996. Effects of age upon interhemispheric EEG coherence in normal adults. Neurobiol Aging. 17:587-599.
19. Dustman RE, Shearer DE, Emmerson RY. 1993. EEG and event-related potentials in normal aging. Prog Neurobiol. 41:369-401.
20. Dustman RE, Shearer DE, Emmerson RY. 1999. Life-span changes in EEG spectral amplitude, amplitude variability and mean frequency. Clin Neurophysiol. 110:1399-1409.
21. Efron B, Tibshirani RJ. 1993. An introduction to the bootstrap. New York: Chapman & Hall.
22. Efron B, Tibshirani R. 1986. Bootstrap methods for standard errors, confidence intervals and other measures of statistical accuracy. Stat. Sci. 1:54-77.
23. Gaal ZA, Boha R, Stam CJ, Molnar M. 2010. Age-dependent features of EEG-reactivity-Spectral, complexity, and network characteristics. Neurosci Lett. 479:79-84.
24. Garrett DD, Kovacevic N, McIntosh AR, Grady CL. 2011. The importance of being variable. J Neurosci. 31:4496-4503.
25. Garrett DD, Kovacevic N, McIntosh AR, Grady CL. 2013. The modulation of bold variability between cognitive states varies by age and processing speed. Cereb. Cortex. 23:684-693.
26. Good P. 2000. Permutation tests: a practical guide to resampling methods for testing hypotheses. New York: Springer.
27. Grady CL. 1998. Brain imaging and age-related changes in cognition. Exp Gerontol. 33:661-673.
28. Grady CL, McIntosh AR, Beig S, Keightley ML, Burian H, Black SE. 2003. Evidence from functional neuroimaging of a compensatory prefrontal network in Alzheimer's disease. J Neurosci. 23:986-993.
29. Grady CL, Protzner AB, Kovacevic N, Strother SC, Afshin-Pour B, Wojtowicz M, Anderson JA, Churchill N, McIntosh AR. 2010. A multivariate analysis of age-related differences in default mode and task-positive networks across multiple cognitive domains. Cereb.Cortex. 20:1432-1447.
30. Greenwood PM. 2000. The frontal aging hypothesis evaluated. J Int Neuropsychol Soc. 6:705-726.
31. Guttmann CR, Jolesz FA, Kikinis R, Killiany RJ, Moss MB, Sandor T, Albert MS. 1998. White matter changes with normal aging. Neurology. 50:972-978.
32. Head D, Buckner RL, Shimony JS, Williams LE, Akbudak E, Conturo TE, McAvoy M, Morris JC, Snyder AZ. 2004. Differential vulnerability of anterior white matter in nondemented aging with minimal acceleration in dementia of the Alzheimer type: evidence from diffusion tensor imaging. Cereb Cortex. 14:410-423.
33. Honey CJ, Kotter R, Breakspear M, Sporns O. 2007. Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proc Natl Acad Sci USA. 104:10240-5.
34. Jirsa VK, Kelso JA. 2000. Spatiotemporal pattern formation in neural systems with heterogeneous connection topologies. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 62:8462-8465.
35. Kaffashi F, Foglyano R, Wilson C, Loparo K. 2008. The effect of time delay on approximate & sample entropy calculations. Physica D. 237:3069-3074.
36. Kennedy KM, Raz N. 2009. Aging white matter and cognition: differential effects of regional variations in diffusion properties on memory, executive functions, and speed. Neuropsychologia. 47:916-927.
37. Kikuchi M, Wada Y, Koshino Y, Nanbu Y, Hashimoto T. 2000. Effect of normal aging upon interhemispheric EEG coherence: analysis during rest and photic stimulation. Clin Electroencephalogr. 31:170-174.
38. Kotter R, Wanke E. 2005. Mapping brains without coordinates. Philos Trans R Soc Lond B Biol Sci. 360:751-766.
39. Krishnan A, Williams LJ, McIntosh AR, Abdi H. 2011. Partial least squares (PLS) methods for neuroimaging: a tutorial and review. Neuroimage. 56:455-475.
40. Lippe S, Kovacevic N, McIntosh AR. 2009. Differential maturation of brain signal complexity in the human auditory and visual system. Front Hum Neurosci. 3:48.
41. Makris N, Papadimitriou GM, van der Kouwe A, Kennedy DN, Hodge SM, Dale AM, Benner T, Wald LL, Wu O, Tuch DS et al. 2007. Frontal connections and cognitive changes in normal aging rhesus monkeys: a DTI study. Neurobiol Aging. 28:1556-1567.
42. McIntosh AR, Bookstein FL, Haxby JV, Grady CL. 1996. Spatial pattern analysis of functional brain images using partial least squares. Neuroimage. 3:143-157.
43. McIntosh AR, Kovacevic N, Itier RJ. 2008. Increased brain signal variability accompanies lower behavioral variability in development. PLoS Comput Biol. 4:e1000106.
44. McIntosh AR, Lobaugh NJ. 2004. Partial least squares analysis of neuroimaging data: applications and advances. Neuroimage. 23(Suppl 1):S250-S263.
45. Meunier D, Achard S, Morcom A, Bullmore E. 2009. Age-related changes in modular organization of human brain functional networks. Neuroimage. 44:715-723.
46. Misic B, Mills T, Taylor MJ, McIntosh AR. 2010. Brain noise is task dependent and region specific. J Neurophysiol. 104: 2667-2676.
47. Nunez PL. 1989. Generation of human EEG by a combination of long and short range neocortical interactions. Brain Topogr. 1:199-215.
48. Park DC, Reuter-Lorenz P. 2009. The adaptive brain: aging and neurocognitive scaffolding. Ann. Rev. Psychol. 60:173-196.
49. Pascual-Marqui RD. 2002. Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. Methods Find Exp Clin Pharmacol. 24(Suppl D):5-12.
50. Persson J, Nyberg L, Lind J, Larsson A, Nilsson LG, Ingvar M, Buckner RL. 2006. Structure-function correlates of cognitive decline in aging. Cereb Cortex. 16:907-915.
51. Pierce TW, Kelly SP, Watson TD, Replogle D, King JS, Pribram KH. 2000. Age differences in dynamic measures of EEG. Brain Topog. 13:127-134.
52. Prichard D, Theiler J. 1995. Generalized redundancies for time series analysis. Physica D. 84:476-493.
53. Protzner AB, McIntosh AR. 2007. The interplay of stimulus modality and response latency in neural network organization for simple working memory tasks. J Neurosci. 27:3187-3197.
54. Protzner AB, Valiante TA, Kovacevic N, McCormick C, McAndrews MP. 2010. Hippocampal signal complexity in mesial temporal lobe epilepsy: a noisy brain is a healthy brain. Arch Ital Biol. 148:289-297.
55. Raz N, Rodrigue KM. 2006. Differential aging of the brain: patterns, cognitive correlates and modifiers. Neurosci Biobehav Rev. 30:730-748.
56. Seidler RD, Bernard JA, Burutolu TB, Fling BW, Gordon MT, Gwin JT, Kwak Y, Lipps DB. 2010. Motor control and aging: links to age-related brain structural, functional, and biochemical effects. Neurosci. Biobehav. Rev. 34:721-733.
57. Shannon CE. 1949. The Mathematical Theory of Communication. Urbana, Illinois: University of Illinois Press.
58. Silverman BW. 1986. Density estimation for statistics and data analysis. London: Chapman Hall.
59. Sloane JA, Hollander W, Moss MB, Rosene DL, Abraham CR. 1999. Increased microglial activation and protein nitration in white matter of the aging monkey. Neurobiol Aging. 20:395-405.
60. Snodgrass JG, Vanderwart M. 1980. A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity and visual complexity. J. Exp. Psychol.: Hum. Learn. Mem. 6:174-215.
61. Sporns O, Tononi G, Edelman GM. 2000b. Connectivity and complexity: the relationship between neuroanatomy and brain dynamics. Neural Netw. 13:909-922.
62. Sporns O, Tononi G, Edelman GM. 2000a. Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. Cereb Cortex. 10:127-141.
63. Srinivasan R, Nunez PL, Silberstein RB. 1998. Spatial filtering and neocortical dynamics: estimates of EEG coherence. IEEE Trans Biomed Eng. 45:814-826.
64. Sullivan EV, Rohlfing T, Pfefferbaum A. 2010. Longitudinal study of callosal microstructure in the normal adult aging brain using quantitative DTI fiber tracking. Develop Neuropsychol. 35: 233-256.
65. Tadel F, Baillet S, Mosher JC, Pantazis D, Leahy RM. 2011. Brainstorm: a user-friendly application for MEG/EEG analysis. Comput Intell Neurosci. 2011:879716.
66. Takahashi T, Cho RY, Murata T, Mizuno T, Kikuchi M, Mizukami K, Kosaka H, Takahashi K, Wada Y. 2009. Age-related variation in EEG complexity to photic stimulation: a multiscale entropy analysis. Clin Neurophysiol. 120:476-483.
67. Tononi G, Sporns O, Edelman GM. 1994. A measure of brain complexity: relating functional segregation and integration in the nervous system. Proc Natl Acad Sci USA. 91:5033-5037.
68. Vakorin VA, Lippe S, McIntosh AR. 2011. Variability of brain signals processed locally transforms into higher connectivity with brain development. J Neurosci. 31:6405-6413.
69. Zhang Y. 1991. Complexity and 1/f noise: a phase space approach. J Phys I. 1:971-977.